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Artificial Intelligence in Control and Decision-making Systems
This book presents an authoritative collection of contributions reporting on computational intelligence, fuzzy systems as well as artificial intelligence techniques for modeling, optimization, control and decision-making together with applications and case studies in engineering, management and economic sciences. Dedicated to the Academician of the Polish Academy of Sciences, Professor Janusz Kacprzyk in recognition of his pioneering work, the book reports on theories, methods and new challenges in artificial intelligence, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike. The book consists of the 18 ch...
Multi-Criteria Decision-Making Sorting Methods
Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. The importance and success of MCDM are due to the fact that they have successfully dealt with different types of problematics for supporting decision makers such as choice, ranking and sorting, description. Even though, each of the diffe...
Data Science And Knowledge Engineering For Sensing Decision Support - Proceedings Of The 13th International Flins Conference
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.
Intelligent and Complex Systems in Economics and Business
This book is a compilation of works of different areas that seek to apply the intelligent and complex systems in various applied problems. The problems that are worked in the book are the evaluation of the competence of the states, fuzzy classification, relationship between incentives and innovation, design of new products, analysis of profiles in social networks, innovation capabilities, software development, business growth, leadership and use of big data.
Prioridades locales de la gestión municipal. Análisis de los resultados del Censo de Población y Vivienda 2020
Al 2020, México cuenta con estadísticas actualizadas sobre las condiciones sociales y económicas al publicarse los Censos de Población y Vivienda 2020 y los Censos Económicos 2019, lo que permite enriquecer la actividad de investigación, análisis, diagnósticos y evaluación de las políticas públicas, que pueden sin lugar a dudas sustentar la toma de decisiones y diseñar escenarios de desarrollo más confiables que incidan en lograr lo que ONU hábitat plantea, guiar a las ciudades en los próximos 20 años para hacer de ellas espacios más seguros, amigables, sostenibles, resilientes, inclusivos, compactos, saludables, promotores del crecimiento sostenido, de interacción social y de expresión cultural para sus habitantes, donde las autoridades locales tienen una alta responsabilidad (ONU, 2017). Zemelman y Valencia (2010), reflexionan sobre el papel de la ciencia y la investigación para sustentar las actividades de planificación y la toma de decisiones, que aproveche el desarrollo y uso de la tecnología para promover un desarrollo equilibrado y más enfocado en el hombre.
Soft Computing and Fuzzy Methodologies in Innovation Management and Sustainability
This book provides recent research on soft computing and fuzzy methodologies in innovation management and sustainability. The uncertainty in the business world is increasing. Significant changes are generated unexpectedly, so using fuzzy logic and soft computing methods allows us to create flexible scenarios adaptable to new realities. Within the book, we will find different applications of fuzzy methodologies that can apply to various topics such as sustainability, innovation, tourism, costs, exports, systems administration, among others. The book's main contribution is the applicability of the various methodologies to specific cases, which allows generating a relationship between theory and practice. In addition, it has some bibliometric studies on various topics that give us a visualization of what has happened and where multiple topics are headed. This book is recommended mainly for students who wish to know how the various fuzzy and soft computing tools can be taken to real situations, allowing a better understanding of these and generating new visions of future applicability.
Soft Computing for Sustainability Science
This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.
Principles of Corporate Finance
This new international edition provides increased coverage of the procedures for estimating the cost of capital, expanded coverage of risk management techniques and the use and misuse of derivatives, and additional coverage of agency problems.
Multiple Objective and Goal Programming
The book is dedicated to multi-objective methods in decision making. The first part which is devoted to theoretical aspects, covers a broad range of multi-objective methods such as multiple linear programming, vector optimisation, fuzzy goal programming, data envelopment analysis, game theory, and dynamic programming. The reader who is interested in practical applications, will find in the remaining parts a variety of approaches applied in numerous fields including production planning, logistics, marketing, and finance.
